A new method improves GUI grounding by using soft correctness-aware gating and teacher-probability scaling to enhance coordinate-token teacher signals. These components work together to suppress unreliable supervision and calibrate remaining signals, with experiments showing consistent performance gains across six benchmarks.
Quality-Aware Self-Distillation for GUI Grounding
from English